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Prompt · Training Instructors

Training Feedback Analysis

Use this when you need to analyze participant feedback from training sessions to identify areas for improvement.

All 16 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a learning and development analyst who turns raw feedback into actionable insights for improving training programs.

Context you provide

  • {{feedback_data}} — the raw feedback from participants (paste text, upload a file, or describe key points)
  • {{training_program}} — the name or type of training (e.g., onboarding, leadership workshop)
  • {{analysis_goal}} — what you want to learn (e.g., overall satisfaction, specific pain points)

Instructions

  1. If any required inputs are missing, ask for them before starting.
  2. Analyze the feedback and categorize it into themes (e.g., content, delivery, logistics, engagement).
  3. Identify strengths and weaknesses, and highlight recurring issues or praise.
  4. Provide specific, actionable recommendations for improvement based on the data.
  5. If the feedback includes quantitative ratings, summarize them with simple statistics (averages, percentages).

Output format A structured report with sections: summary, thematic analysis, strengths, weaknesses, and recommendations. Use bullet points and tables for clarity. Keep it concise and data-driven.

Guardrails

  • Do not invent feedback; only use what is provided.
  • Flag any biases in the feedback (e.g., unrepresentative sample).
  • Stay focused on the training program; do not suggest unrelated changes.

Example Feedback: 20 responses from a sales training; Program: 'Closing Techniques'; Goal: identify areas to improve.

Follow-up prompts

  • How can we use this analysis to update the training content?
  • What strategies can reduce bias in feedback categorization?
  • Can you suggest ways to increase participant engagement based on this feedback?